A Low-Cost, IP-Based Mobile Network Emulator (MNE)

Author(s):  
Joseph P. Macker ◽  
William Chao ◽  
Jeffrey W. Weston
Author(s):  
Volodymyr Smirnov ◽  
◽  
Natalia Smirnova ◽  

The purpose of the article is to develop an adaptive mobile network node architecture with an amorphous topology. The article describes the host controller architecture. The concept of a mobile network is described. The mobile network is adaptive, self-organizing, and able to operate autonomously. The presented mobile network node controller architecture is the object swarm control system basis. A stack of mobile network protocols is presented, consisting of a control protocol, a data exchange protocol and a configuration protocol. The nodes of the network controllers interaction is carried out using several transceivers. The use of multiple transceivers made it possible to distribute data traffic, configuration traffic, and management traffic over different channels, which made it possible to carry out information exchange at the same time. The protocol stack is minimized. The functionality of the host and the network object (swarm) is completely separated. The topology of the mobile network is not deterministic, amorphous and changes when the network objects move in space. In this case, some connections are lost and others arise. The routing tables are constantly updated. The network in accordance with the laid down algorithm, is able to build the necessary topology and organize the necessary connections in order to complete the task with a swarm of objects. The network is capable of building packet retransmission chains for remote network objects. Thus, the implementation of a mobile network at its low cost allows solving a certain range of problems. The performer can be either a separate object associated with the operator through a swarm of repeaters, or a swarm of objects. In order to increase the efficiency of the formation of routing tables and minimize the cluster structures in a mobile network, it is advisable to use optimization algorithms based on set theory. The mobile network is designed to control a swarm of objects, which can be UAVs, robotic objects and control systems for various technological processes.


2017 ◽  
Author(s):  
Haripriya Mukundarajan ◽  
Felix J H Hol ◽  
Erica A Castillo ◽  
Cooper Newby ◽  
Manu Prakash

AbstractThe direct monitoring of mosquito populations in field settings is a crucial input for shaping appropriate and timely control measures for mosquito-borne diseases. Here, we demonstrate that commercially available mobile phones are a powerful tool for acoustically mapping mosquito species distributions worldwide. We show that even low-cost mobile phones with very basic functionality are capable of sensitively acquiring acoustic data on species-specific mosquito wingbeat sounds, while simultaneously recording the time and location of the human-mosquito encounter. We survey a wide range of medically important mosquito species, to quantitatively demonstrate how acoustic recordings supported by spatio-temporal metadata enable rapid, non-invasive species identification. As proof-of-concept, we carry out field demonstrations where minimally-trained users map local mosquitoes using their personal phones. Thus, we establish a new paradigm for mosquito surveillance that takes advantage of the existing global mobile network infrastructure, to enable continuous and large-scale data acquisition in resource-constrained areas.


2012 ◽  
Vol 85 ◽  
pp. 11-16 ◽  
Author(s):  
Prashanth Shyamkumar ◽  
Sechang Oh ◽  
Nilanjan Banerjee ◽  
Vijay K. Varadan

A Remote Brain Machine Interface (RBMI) can be defined as a means to control a machine that is in a different geographical location than the user. Thus far, simulations for such interfaces using multiple channels of non-invasive EEG signals acquired through tethered systems have been used for control of vehicles in military and exploratory applications, and for ongoing research on RBMI controlled robotic surgery. However, simple applications of RBMI in home automation for the elderly, low cost assistive devices for the disabled, home security etc can be built using fewer and more portable sensor systems. As a case study, we have implemented such an interface using a smartphone for the RBMI. The system consists of a wearable Bluetooth-enabled head band with dry electrodes for EEG and EOG signals, a smartphone to collect and relay the data, a laptop with internet connectivity at a remote location to retrieve the data and generate control commands. In this paper, we describe the information architecture, the design of the wearable nanosensors and algorithms for control command generation based on EEG and EOG. A selected demonstration will be shown.


2021 ◽  
Vol 25 (02) ◽  
pp. 9-16
Author(s):  
Ammar F. Abbas ◽  
◽  
Mahmood Z. Abdullah ◽  

The rapid development of smart home and deep learning attract many types of research to meet the needs of the homeowner that make the right decisions based on preset settings or based on user behavior in the smart home. And because some gases cause air pollution, affect human health, cause lung cancer, breathing problems. and cause a fire as well. Many gases in our home can pose many dangers. One of the risks of using LPG is leakage in cylinders, gas installations, stoves, or LPG heaters. This paper focused on using technological development to alert about a gas leak inside the home to preserve the general health of people. The proposed system, a gas sensor is used to measure the value of gas in the atmosphere. This part is an important part of the smart home, which is taking precautionary measures by using the gas sensor and controller, in addition to using a mobile network system to send an alert message to the user about gas leakage from the mentioned sources. The proposed system is characterized by its low cost and allows the homeowner to monitor the gas leak inside the home from outside.


2020 ◽  
Vol 08 (05) ◽  
pp. 89-95
Author(s):  
Akpovi Ominike ◽  
Jonah Joshua ◽  
Oludele Awodele ◽  
Achimba Ogbonna

2012 ◽  
Vol 14 (4) ◽  
pp. 829-839 ◽  
Author(s):  
Patrick Thomson ◽  
Rob Hope ◽  
Tim Foster

The continued expansion of mobile network coverage in rural Africa provides an opportunity for simple and low-cost hydroinformatic innovations to measure and transmit data on handpump use for policy and management improvements. We design, build and test a Waterpoint Data Transmitter to determine its robustness, functionality and scalability. Results demonstrate that this novel application using simple microprocessor, accelerometer and global system for mobile communications (GSM) components has significant potential in recording graduated time-step information flows of lever pumps which can be modelled into a reasonable water volume use approximation. Given the systemic informational deficit for rural waterpoints in Africa, where one in three handpumps is likely to be non-functioning, this innovation has the potential to provide universal, low-cost and immediate data to guide timely maintenance responses and planning decisions, as well as drive greater accountability and transparency in donor and government behaviour.


2017 ◽  
Author(s):  
Sarab S. Sethi ◽  
Robert M. Ewers ◽  
Nick S. Jones ◽  
C. David L. Orme ◽  
Lorenzo Picinali

AbstractAutomated methods of monitoring ecosystems provide a cost-effective way to track changes in natural system’s dynamics across temporal and spatial scales. However, methods of recording and storing data captured from the field still require significant manual effort.Here we introduce an open source, inexpensive, fully autonomous ecosystem monitoring unit for capturing and remotely transmitting continuous data streams from field sites over long time-periods. We provide a modular software framework for deploying various sensors, together with implementations to demonstrate proof of concept for continuous audio monitoring and time-lapse photography.We show how our system can outperform comparable technologies for fractions of the cost, provided a local mobile network link is available. The system is robust to unreliable network signals and has been shown to function in extreme environmental conditions, such as in the tropical rainforests of Sabah, Borneo.We provide full details on how to assemble the hardware, and the open-source software. Paired with appropriate automated analysis techniques, this system could provide spatially dense, near real-time, continuous insights into ecosystem and biodiversity dynamics at a low cost.


Earth ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 715-730
Author(s):  
Kithsiri Perera ◽  
Ryutaro Tateishi ◽  
Kondho Akihiko ◽  
Srikantha Herath

Bushfires are an integral part of the forest regeneration cycle in Australia. However, from the perspective of a natural disaster, the impact of bushfires on human settlements and the environment is massive. In Australia, bushfires are the most disastrous natural hazards. According to the records of the Parliament of Australia, the recent catastrophic bushfires in NSW and Victoria burnt out over 10 million hectares of land, a figure more significant than any previous bushfire damage on record. After the deadly 2009 Black Saturday bushfires, which killed 173 people in Victoria, public attention to bushfires reached a new peak. Due to the disastrous consequences of bushfires, scientists have explored various methods to mitigate or even avoid bushfire damage, including the use of bushfire alerts. The present study adds satellite imagery and GIS-based semi-real-time bushfire contents to various bushfire warnings issued by government authorities. The new product will disseminate graphical bushfire contents to rural Australians through social media, using Google Maps. This low-cost Media GIS content can be delivered through highly popular smartphone networks in Australia through social media (Facebook and Twitter). We expect its success to encourage people to participate in disaster mitigation efforts as contributors in a participatory GIS network. This paper presents a case study to demonstrate the production process and the quality of media GIS content and further discusses the potential of using social media through the mobile network of Australia while paying attention to mobile blackspots. Media GIS content has the potential to link with the public information systems of local fire management services, disseminate contents through a mobile app, and develop into a fully automated media GIS content system to expand the service beyond bushfires.


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